Hongyi Zhao

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 5 citations into it; #18,627 of 35,345 by trust here, #32,362 by citations

Whom Hongyi Zhao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jerome H. Friedman
2. Pieter Abbeel
3. Andrew Y. Ng
4. Sergey Levine
5. Brian D. Ziebart

Who trusts Hongyi Zhao overall

1. Chao Yu

Papers from Hongyi Zhao's perspective

Ordered by how strongly the researchers Hongyi Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Apprenticeship learning via inverse reinforcement learning
8. ImageNet: A large-scale hierarchical image database
9. Maximum Entropy Inverse Reinforcement Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units (2019) — 61 citations